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Unveiling AI Insights: Navigating COVID-19 with Machine Learning and Deep Learning
0
Zitationen
2
Autoren
2023
Jahr
Abstract
The COVID-19 pandemic has brought unprecedented challenges to global healthcare systems, prompting the exploration of innovative technologies to mitigate its impact. This research paper provides a comprehensive review of the latest developments in applying deep learning (DL) and machine learning (ML) techniques in addressing various aspects of COVID-19. The paper covers various topics, including diagnostic tools, drug discovery, epidemiological modeling, and patient management. Researchers leverage AI, especially DL and ML, to develop efficient algorithms using CT and X-ray images for rapid and accurate COVID-19 diagnosis, with overall accuracies ranging from 86.1% to 99.7% [1].
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